Biology subjects

Govind, R.

Publications and source records attributed to Govind, R..

10 recordsLinked to original sources

bioRxiv2026

Clostridioides difficile stimulates CCL20 expression in human colonoid monolayers in a transwell-based co-culture system that supports its anaerobic growth

The pathogenic bacterium Clostridioides difficile is a major cause of antibiotic-associated diarrheal disease. Treatment of the disease is challenging because antibiotics used for treatment may also perpetuate the conditions that contributed to initial susceptibility. Elucidating the mechanisms of C. difficile/intestinal epithelium interaction is needed to facilitate the development of new therapeutic options. The studies described in this communication demonstrate the development of a tissue culture system that supported the growth of C. difficile in co-culture with a model of the human intestinal epithelium produced from colonoids, organoids derived from human colonic biopsies. Epithelial cell responses to C. difficile included upregulation of CCL20, encoding a chemokine that was previously shown to be upregulated in response to C. difficile challenge. Additionally, bacteria associated with the monolayer in a non-toxin dependent manner. This system will support future investigation of epithelium/C. difficile interactions during CDI and identification of mechanisms that drive pathogenesis by C. difficile in the human intestine.

microbiology↗

bioRxiv2025

Naturally occurring CodY variants alter ligand binding, DNA target affinity, and virulence in Clostridioides difficile

Clostridioides difficile is an important nosocomial pathogen that has been classified as an "urgent threat" by the CDC. Antibiotic use is the primary risk factor for the development of C. difficile-associated disease because it disrupts healthy protective gut flora and enables C. difficile to colonize the colon. C. difficile damages host tissue by secreting toxins and disseminates by forming spores. Nutrient availability and other environmental factors greatly influence toxin production in C. difficile. CodY is a global transcriptional regulator that coordinates metabolism and virulence in Gram-positive pathogens in response to nutrient availability, primarily through sensing branched-chain amino acids (isoleucine, leucine, valine; ILV) and GTP. In C. difficile, CodY indirectly represses toxin production by inhibiting transcription of the positive regulator tcdR and influences sporulation through unknown mechanisms. Here, we characterized two naturally occurring CodY variants, CodY(Y146N) and CodY(V58A). The Y146N substitution is located near the GTP-binding pocket, while V58A is near the ILV-binding site. Ligand binding assays revealed GTP binding ability of CodY(Y146N) is severely compromised. Electrophoretic mobility shift assays (EMSAs) demonstrated that ligand binding differentially influenced promoter binding; in the presence of GTP, CodY(Y146N) bound to the tcdR promoter less efficiently than CodY(WT). In C. difficile, production of either variant resulted in reduced repression of toxin production compared to CodY(WT). Subsequent in vivo experiments in a hamster infection model showed that strains producing CodY(Y146N) or CodY(V58A) were significantly more virulent than the CodY(WT) producing strain. These findings demonstrate that a single amino acid change in this global regulator can alter its ligand affinity and promoter-binding properties to potentially rewire the gene regulatory networks to enhance the pathogenic potential in C. difficile. ImportanceC. difficile has been recognized as an important nosocomial pathogen that causes diarrheal disease as a consequence of antibiotic exposure. CodY controls the expression of numerous metabolic and virulence genes. In this study, we have characterized two CodY variants and have demonstrated that even a single residue change in important domains can affect its function and have implications on bacterial virulence.

microbiology↗

bioRxiv2024

Role of Glycogen Metabolism in Clostridioides difficile Virulence

Glycogen plays a vital role as an energy reserve in various bacterial and fungal species. Clostridioides difficile possesses a glycogen metabolism operon that contains genes for both glycogen synthesis and utilization. In our investigation, we focused on understanding the significance of glycogen metabolism in the physiology and pathogenesis of C. difficile. To explore this, we engineered a C. difficile JIR8094 strain lacking glycogen synthesis capability by introducing a group II intron into the glgC gene, the operons first component. Quantification of intracellular glycogen levels validated the impact of this modification. Interestingly, the mutant strain exhibited a 1.5-fold increase in toxin production compared to the parental strain, without significant changes in sporulation rate. Our analysis also revealed that wild-type C. difficile spores contained glycogen, whereas spores from the mutant strain lacking stored glycogen showed increased sensitivity to physical and chemical treatments and had a shorter storage life. By suppressing glgP expression, the gene coding for glycogen-phosphorylase, via CRISPRi, we demonstrated that glycogen accumulation but not the utilization is needed for spore resilience in C. difficile. Transmission Electron Microscopy (TEM) analysis revealed a significantly lower core/cortex ratio in glgC mutant strain spores. In hamster challenge experiments, both the parental and glgC mutant strains colonized hosts similarly; however, the mutant strain failed to induce infection relapse after antibiotic treatment cessation. These findings highlight the importance of glycogen metabolism in C. difficile spore resilience and suggest its role in disease relapse. ImportanceThis study on the role of glycogen metabolism in C. difficile highlights its critical involvement in the pathogens energy management, its pathogenicity and resilience. Our results also revealed that glycogen presence in spores is pivotal for their structural integrity and resistance to adverse conditions, which is essential for their longevity and infectivity. Importantly, the inability of the mutant strain to cause infection relapse in hamsters post-antibiotic treatment pinpoints a potential target for therapeutic interventions, highlighting the importance of glycogen in disease dynamics. This research thus significantly advances our understanding of C. difficile physiology and pathogenesis, offering new avenues for combating its persistence and recurrence.

microbiology↗

bioRxiv2021

Characterization of an operon required for growth on cellobiose in Clostridioides difficile

Cellobiose metabolism is linked to the virulence properties in numerous bacterial pathogens. Here, we characterized a putative cellobiose PTS operon of Clostridiodes difficile to investigate the role of cellobiose metabolism in C. difficile pathogenesis. Our gene knockout experiments demonstrated that the putative cellobiose operon enables uptake of cellobiose into C. difficile and allows growth when cellobiose is provided as the sole carbon source in minimal medium. Additionally, using reporter gene fusion assays and DNA pull-down experiments, we show that its transcription is regulated by CelR, a novel transcriptional repressor protein, which directly binds to the upstream region of the cellobiose operon to control its expression. We have also identified cellobiose metabolism to play a significant role in C. difficile physiology as observed by the reduction of sporulation efficiency when cellobiose uptake was compromised in the mutant strain. In corroboration to in vitro study findings, our in vivo hamster challenge experiment showed a significant reduction of pathogenicity by the cellobiose mutant strain in both the primary and the recurrent infection model- substantiating the role of cellobiose metabolism in C. difficile pathogenesis.

microbiology↗

bioRxiv2021

Phase variable expression of pdcB, a phosphodiesterase influences sporulation in Clostridioides difficile

Clostridioides difficile is the causative agent of antibiotic-associated diarrhea and is the leading cause of nosocomial infection in developed countries. An increasing number of C. difficile infections are attributed to hypervirulence strains that produce more toxins and spores. C. difficile spores are the major factor for the transmission and persistence of the organism. Previous studies have identified global regulators that influence sporulation in C. difficile. This study discovered that PdcB, a phosphodiesterase to influence sporulation in C. difficile UK1 strain positively. Through genetic and biochemical assays, we have shown that phase variable expression of pdcB results in hypo- and hyper-sporulation phenotype. In the "ON" orientation, the identified promotor is the right orientation to drive the expression of pdcB. Production of PdcB phosphodiesterase reduces the intracellular cyclic-di-GMP concentration, resulting in hyper-sporulation phenotype. The OFF orientation of pdcB switch or mutating pdcB results in increased cyclic-di-GMP and hypo-sporulating phenotype. Additionally, we demonstrated that CodY binds to the upstream region of pdcB to represses its expression, and CodY mediated repression is relieved by the DNA inversion.

microbiology↗

bioRxiv2020

Disease-specific variant pathogenicity prediction significantly improves variant interpretation in inherited cardiac conditions

BackgroundAccurate discrimination of benign and pathogenic rare variation remains a priority for clinical genome interpretation. State-of-the-art machine learning tools are useful for genome-wide variant prioritisation but remain imprecise. Since the relationship between molecular consequence and likelihood of pathogenicity varies between genes with distinct molecular mechanisms, we hypothesised that a disease-specific classifier may outperform existing genome-wide tools. MethodsWe present a novel disease-specific variant classification tool, CardioBoost, that estimates the probability of pathogenicity for rare missense variants in inherited cardiomyopathies and arrhythmias, trained with variants of known clinical effect. To benchmark against state-of-the-art genome-wide pathogenicity classification tools, we assessed classification of hold-out test variants using both overall performance metrics, and metrics of high-confidence (>90%) classifications relevant to variant interpretation. We further evaluated the prioritisation of variants associated with disease and patient clinical outcomes, providing validations that are robust to potential mis-classification in gold-standard reference datasets. ResultsCardioBoost has higher discriminating power than published genome-wide variant classification tools in distinguishing between pathogenic and benign variants based on overall classification performance measures with the highest area under the Precision-Recall Curve as 91% for cardiomyopathies and as 96% for inherited arrhythmias. When assessed at high-confidence (>90%) classification thresholds, prediction accuracy is improved by at least 120% over existing tools for both cardiomyopathies and arrhythmias, with significantly improved sensitivity and specificity. Finally, CardioBoost improves prioritisation of variants significantly associated with disease, and stratifies survival of patients with cardiomyopathies, confirming biologically relevant variant classification. ConclusionsWe demonstrate that a disease-specific variant pathogenicity prediction tool outperforms state-of-the-art genome-wide tools for the classification of rare missense variants of uncertain significance for inherited cardiac conditions. To facilitate evaluation of CardioBoost, we provide pre-computed pathogenicity scores for all possible rare missense variants in genes associated with cardiomyopathies and arrhythmias (https://www.cardiodb.org/cardioboost/). Our results also highlight the need to develop and evaluate variant classification tools focused on specific diseases and clinical application contexts. Our proposed model for assessing variants in known disease genes, and the use of application-specific evaluations, is broadly applicable to improve variant interpretation across a wide range of Mendelian diseases.

genetics↗

bioRxiv2020

Spo0A suppresses sin locus expression in Clostridioides difficile

Clostridioides difficile is the leading cause of nosocomial infection and is the causative agent of antibiotic-associated diarrhea. The severity of the disease is directly associated with the production of toxins, and spores are responsible for the transmission and persistence of the organism. Previously we characterized sin locus regulators SinR and SinR, where SinR is the regulator of toxin production and sporulation, while the SinR acting as its antagonist. In Bacillus subtilis, Spo0A, the master regulator of sporulation, regulates SinR, by regulating the expression of its antagonist sinI. However, the role of Spo0A in the expression of sinR and sinR in C. difficile is not yet reported. In this study, we tested spo0A mutants in three different C. difficile strains R20291, UK1, and JIR8094, to understand the role of Spo0A in sin locus expression. Western blot analysis revealed that spo0A mutants had increased SinR levels. The qRT-PCR analysis for its expression further supported this data. By carrying out genetic and biochemical assays, we have shown that Spo0A can bind to the upstream region of this locus to regulates its expression. This study provides vital information that Spo0A regulates sin locus, which controls critical pathogenic traits such as sporulation, toxin production, and motility in C. difficile. IMPORTANCEClostridioides difficile is the leading cause of antibiotic-associated diarrheal disease in the United States. During infection, C. difficile spores germinate, and the vegetative bacterial cells produce toxins that damage host tissue. In C. difficile, sin locus is known to regulate both sporulation and toxin production. In this study, we have shown that Spo0A, the master regulator of sporulation to control the sin locus expression. We performed various genetic and biochemical experiments to show that Spo0A directly regulates the expression of this locus by binding to its upstream DNA region. This observation adds new detail to the gene regulatory network that connects sporulation and toxin production in this pathogen.

genetics↗

bioRxiv2019

Genomics of Egyptian Healthy Volunteers: The EHVol Study

Comprehensive genomic databases offer unprecedented opportunities towards effective tailored strategies for the prevention and treatment of disease. The integration of genomic and phenotypic data from diverse ethnic populations is also key to advancements in precision medicine and novel diagnostic technologies. Current reference genomic databases, however, are not representative of the global human population, making variant interpretation challenging and uncertain, especially in underrepresented populations such as the North African population. To address this, a study of 391 Egyptian healthy volunteers (EHVols) was initiated as a milestone towards establishing the 1000 Egyptian Genomes project.

genomics↗

bioRxiv2018

Quantitative approaches to variant classification increase the yield and precision of genetic testing in Mendelian diseases: The case of hypertrophic cardiomyopathy

BackgroundInternational guidelines for variant interpretation in Mendelian disease set stringent criteria to report a variant as (likely) pathogenic, prioritising control of false positive rate over test sensitivity and diagnostic yield. Genetic testing is also more likely informative in individuals with well-characterised variants from extensively studied European-ancestry populations. Inherited cardiomyopathies are relatively common Mendelian diseases that allow empirical calibration and assessment of this framework.\n\nResultsWe compared rare variants in large hypertrophic cardiomyopathy (HCM) cohorts to reference populations to identify variant classes with high prior likelihoods of pathogenicity, as defined by etiological fraction (EF). Analysis of variant distribution identified regions in which variants are significantly enriched in cases and variant location was a better discriminator of pathogenicity than generic computational functional prediction algorithms. Non-truncating variant classes with an EF[≥]0.95, and therefore clinically actionable, were identified in 5 established HCM genes. Applying this approach leads to an estimated 14-20% increase in cases with actionable HCM variants.\n\nConclusionsWhen found in a patient confirmed to have disease, novel variants in some genes and regions are empirically shown to have a sufficiently high probability of pathogenicity to support a \"likely pathogenic\" classification, even without additional segregation or functional data. This could increase the yield of high confidence actionable variants, consistent with the framework and recommendations of current guidelines. The techniques outlined offer a consistent, unbiased and equitable approach to variant interpretation for Mendelian disease genetic testing. We propose adaptations to ACMG/AMP guidelines to incorporate such evidence in a quantitative and transparent manner.

genetics↗

bioRxiv2017

CardioClassifier: demonstrating the power of disease- and gene-specific computational decision support for clinical genome interpretation

PurposeInternationally-adopted variant interpretation guidelines from the American College of Medical Genetics and Genomics (ACMG) are generic and require disease-specific refinement. Here we developed CardioClassifier (www.cardioclassifier.org), a semi-automated decision-support tool for inherited cardiac conditions (ICCs).\n\nMethodsCardioClassifier integrates data retrieved from multiple sources with user-input case-specific information, through an interactive interface, to support variant interpretation. Combining disease- and gene-specific knowledge with variant observations in large cohorts of cases and controls, we refined 14 computational ACMG criteria and created three ICC-specific rules.\n\nResultsWe benchmarked CardioClassifier on 57 expertly-curated variants and show full retrieval of all computational data, concordantly activating 87.3% of rules. A generic annotation tool identified fewer than half as many clinically-actionable variants (64/219 vs 156/219, Fishers P=1.1x10-18), with important false positives; illustrating the critical importance of disease and gene-specific annotations.\n\nCardioClassifier identified putatively disease-causing variants in 33.7% of 327 cardiomyopathy cases, comparable with leading ICC laboratories. Through addition of manually-curated data, variants found in over 40% of cardiomyopathy cases are fully annotated, without requiring additional user-input data.\n\nConclusionCardioClassifier is an ICC-specific decision-support tool that integrates expertly curated computational annotations with case-specific data to generate fast, reproducible and interactive variant pathogenicity reports, according to best practice guidelines.

genomics↗